Found: 22
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The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest.
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- Forests (19994907), 2018, v. 9, n. 6, p. 303, doi. 10.3390/f9060303
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- Article
Soft Water Level Sensors for Characterizing the Hydrological Behaviour of Agricultural Catchments.
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- Sensors (14248220), 2011, v. 11, n. 5, p. 4656, doi. 10.3390/s110504656
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- Article
Change of Support in Spatial Variance-Based Sensitivity Analysis.
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- Mathematical Geosciences, 2012, v. 44, n. 8, p. 945, doi. 10.1007/s11004-012-9406-5
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- Article
Testing the Relevance of Daily MODIS Data to Monitor Mediterranean Shrubland Canopy Water Content with Temporal Cross- Correlation Analyses.
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- International Journal of Agricultural & Environmental Information Systems, 2013, v. 4, n. 1, p. 1, doi. 10.4018/jaeis.2013010101
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- Article
Influence of maintenance practices on hydraulic functions of ditches: A trait‐based approach.
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- Ecohydrology, 2022, v. 15, n. 8, p. 1, doi. 10.1002/eco.2464
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- Article
Vegetation cover at the water surface best explains seed retention in open channels.
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- Ecohydrology, 2021, v. 14, n. 2, p. 1, doi. 10.1002/eco.2263
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- Article
Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine Learning.
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- Remote Sensing, 2022, v. 14, n. 10, p. 2361, doi. 10.3390/rs14102361
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- Article
Terrain Slope Effect on Forest Height and Wood Volume Estimation from GEDI Data.
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- Remote Sensing, 2021, v. 13, n. 11, p. 2136, doi. 10.3390/rs13112136
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- Article
Analysis of GEDI Elevation Data Accuracy for Inland Waterbodies Altimetry.
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- Remote Sensing, 2020, v. 12, n. 17, p. 2714, doi. 10.3390/rs12172714
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- Article
The Use of Photogrammetry to Construct Time Series of Vegetation Permeability to Water and Seed Transport in Agricultural Waterways.
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- Remote Sensing, 2018, v. 10, n. 12, p. 2050, doi. 10.3390/rs10122050
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- Article
Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas.
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- Remote Sensing, 2017, v. 9, n. 3, p. 213, doi. 10.3390/rs9030213
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- Article
Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana.
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- Remote Sensing, 2016, v. 8, n. 3, p. 240, doi. 10.3390/rs8030240
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- Article
Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions.
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- Remote Sensing, 2014, v. 6, n. 12, p. 11883, doi. 10.3390/rs61211883
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- Article
The Relevance of GLAS/ICESat Elevation Data for the Monitoring of River Networks.
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- Remote Sensing, 2011, v. 3, n. 4, p. 708, doi. 10.3390/rs3040708
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- Article
Geostatistical estimations of bathymetric LiDAR errors on rivers.
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- Earth Surface Processes & Landforms, 2010, v. 35, n. 10, p. 1199, doi. 10.1002/esp.1991
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- Article
Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals.
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- Earth Surface Processes & Landforms, 2010, v. 35, n. 6, p. 640, doi. 10.1002/esp.1959
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- Article
Very-high-resolution mapping of river-immersed topography by remote sensing.
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- Progress in Physical Geography, 2008, v. 32, n. 4, p. 403, doi. 10.1177/0309133308096030
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- Article
Terrain modelling in vegetated terraced landscapes from SfM and LiDAR point clouds.
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- Geophysical Research Abstracts, 2018, v. 20, p. 4556
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- Article
UTILISATION CONJOINTE DE TRAINS D'ONDES LIDAR VERT ET INFRAROUGE POUR LA BATHYMÉTRIE DES EAUX DE TRÈS FAIBLE PROFONDEURS.
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- Revue Francaise de Photogrammetrie et de Teledetection, 2017, n. 213-214, p. 33, doi. 10.52638/rfpt.2017.362
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- Article
AIRBORNE LIDAR FOR NATURAL ENVIRONMENTS: RESEARCH AND APPLICATIONS IN FRANCE.
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- Revue Francaise de Photogrammetrie et de Teledetection, 2012, n. 200, p. 54
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- Article
Using geomorphological variables to predict the spatial distribution of plant species in agricultural drainage networks.
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- PLoS ONE, 2018, v. 13, n. 1, p. 1, doi. 10.1371/journal.pone.0191397
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- Article
Characterization of the long‐distance dispersal of Johnsongrass (Sorghum halepense) in a vegetated irrigation channel.
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- River Research & Applications, 2018, v. 34, n. 9, p. 1219, doi. 10.1002/rra.3356
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- Article